Evidence map›Paper›PMID 24650843›Full record

Trial reportAmerican journal of preventive medicine2014

Mobile technology for obesity prevention: a randomized pilot study in racial- and ethnic-minority girls.

Nicole L Nollen, Matthew S Mayo, Susan E Carlson, Michael A Rapoff, Kathy J Goggin, Edward F Ellerbeck

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of preventive medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 26 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 26 pooled it
25.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 26 syntheses or guidelines pooled it, 145 citations in OpenAlex.

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  6. Interventions to prevent obesity in children aged 5 to 11 years old.The Cochrane database of systematic reviews · 2024
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  18. Interventions for preventing obesity in children.The Cochrane database of systematic reviews · 2019
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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Nicole L NollenDepartment of Preventive Medicine and Public Health, University of Kansas School of Medicine, Kansas City, Kansas. Electronic address: nnollen@kumc.edu.
Matthew S MayoDepartment of Biostatistics, University of Kansas School of Medicine, Kansas City, Kansas.
Susan E CarlsonDepartment of Dietetics and Nutrition, University of Kansas School of Medicine, Kansas City, Kansas.
Michael A RapoffDepartment of Pediatrics, University of Kansas School of Medicine, Kansas City, Kansas.
Kathy J GogginHealth Services and Outcomes Research, Children's Mercy School of Pharmacy, University of Missouri-Kansas City, Kansas City, Missouri.
Edward F EllerbeckDepartment of Preventive Medicine and Public Health, University of Kansas School of Medicine, Kansas City, Kansas.
University of Kansas · USUniversity of Missouri–Kansas City · US

Funding

Kansas BIRCWH Career Development Program Women's HealthK12HD052027 · NICHD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI CARLSON, SUSAN E · 2005 to 2014
$5.0M
African Americans in Health Science Research: A University, Community, and Faith-RC4MD005738 · NIMHD · UNIVERSITY OF MISSOURI KANSAS CITY · PI GOGGIN, KATHY J · 2010 to 2010
$1.0M
Impacting diet and sedentary behaviors in adolescent through handheld computersK23HL090496 · NHLBI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NOLLEN, NICOLE L · 2009 to 2012
$544k
NHLBI NIH HHS K23 HL090496NICHD NIH HHS K12 HD052027NIMHD NIH HHS RC4 MD005738
6 · The paper itself

Abstract

backgroundMobile technologies have wide-scale reach and disseminability, but no known studies have examined mobile technologies as a stand-alone tool to improve obesity-related behaviors of at-risk youth. PURPOSE: To test a 12-week mobile technology intervention for use and estimate effect sizes for a fully powered trial.

methodsFifty-one low-income, racial/ethnic-minority girls aged 9-14 years were randomized to a mobile technology (n=26) or control (n=25) condition. Both conditions lasted 12 weeks and targeted fruits/vegetables (FVs; Weeks 1-4); sugar-sweetened beverages (SSBs; Weeks 5-8), and screen time (Weeks 9-12). The mobile intervention prompted real-time goal setting and self-monitoring and provided tips, feedback, and positive reinforcement related to the target behaviors. Controls received the same content in a written manual but no prompting. Outcomes included device utilization and effect size estimates of FVs, SSBs, screen time, and BMI. Data were collected and analyzed in 2011-2012.

resultsMobile technology girls used the program on 63% of days and exhibited trends toward increased FVs (+0.88, p=0.08) and decreased SSBs (-0.33, p=0.09). The adjusted difference between groups of 1.0 servings of FVs (p=0.13) and 0.35 servings of SSBs (p=0.25) indicated small to moderate effects of the intervention (Cohen's d=0.44 and -0.34, respectively). No differences were observed for screen time or BMI.

conclusionsA stand-alone mobile app may produce small to moderate effects for FVs and SSBs. Given the extensive reach of mobile devices, this pilot study demonstrates the need for larger-scale testing of similar programs to address obesity-related behaviors in high-risk youth.

Indexed as

Mobile ApplicationsAdolescentBody Mass IndexChildDietFemaleGoalsHealth BehaviorHealth PromotionHumansMinority GroupsObesityPilot ProjectsRacial GroupsSedentary Behavior

Identifiers

PMID24650843
PMCPMC3962588
OpenAlexW71624482

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.